Analysis Of Ordinal Data

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Analysis of Ordinal Categorical Data

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1118209990
Total Pages : 376 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Analysis of Ordinal Categorical Data by : Alan Agresti

Download or read book Analysis of Ordinal Categorical Data written by Alan Agresti and published by John Wiley & Sons. This book was released on 2012-07-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Ordinal Methods for Behavioral Data Analysis

Author : Norman Cliff
Publisher : Psychology Press
ISBN 13 : 1317781430
Total Pages : 212 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Ordinal Methods for Behavioral Data Analysis by : Norman Cliff

Download or read book Ordinal Methods for Behavioral Data Analysis written by Norman Cliff and published by Psychology Press. This book was released on 2014-03-05 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written with the belief that ordinal statistical methods--sometimes discussed under the title of "nonparametric statistics"--deserve much more serious attention as research tools than they have traditionally had. There are three classes of reasons for this: *Many behavioral variables constitute only ordinal scales, not interval measurements that are required for traditional statistics. *Various research issues that are of primary interest in behavioral research are themselves questions about order: Which group scores higher? Is the order on this variable similar to the order on that? *Inferences from ordinal statistics are less subject to distributional peculiarities of the data than are those from traditional statistics. Taking an innovative approach, this book treats ordinal methods in an integrated way rather than as a compendium of unrelated methods, and emphasizes that the ordinal quantities are highly meaningful in their own right, not just as stand-ins for more traditional correlations or analyses of variance. In fact, since the ordinal statistics have desirable descriptive properties of their own, the book treats them parametrically, rather then nonparametrically. The author discusses how ordinal statistics can be applied in a much wider set of research situations than has usually been thought, and that they can often come closer to answering the researcher's primary questions than traditional ones can. And he includes some extensions of ordinal methods in order to accomplish that end.

Longitudinal Data Analysis

Author : Donald Hedeker
Publisher : John Wiley & Sons
ISBN 13 : 0470036478
Total Pages : 360 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Longitudinal Data Analysis by : Donald Hedeker

Download or read book Longitudinal Data Analysis written by Donald Hedeker and published by John Wiley & Sons. This book was released on 2006-05-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Ordinal Data Modeling

Author : Valen E. Johnson
Publisher : Springer Science & Business Media
ISBN 13 : 0387227024
Total Pages : 258 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Ordinal Data Modeling by : Valen E. Johnson

Download or read book Ordinal Data Modeling written by Valen E. Johnson and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

Methods in Human Growth Research

Author : Roland C. Hauspie
Publisher : Cambridge University Press
ISBN 13 : 9781139451680
Total Pages : 418 pages
Book Rating : 4.4/5 (516 download)

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Book Synopsis Methods in Human Growth Research by : Roland C. Hauspie

Download or read book Methods in Human Growth Research written by Roland C. Hauspie and published by Cambridge University Press. This book was released on 2004-06-24 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to gain an understanding of the dynamics of human individual and average growth patterns it is essential that the right methods are selected. There are a variety of methods available to analyse individual growth patterns, to estimate variation in different growth measures in populations and to relate genetic and environmental factors to individual and average growth. This volume provides an overview of modern techniques for the assessment and collection of growth data and methods of analysis for individual and population growth data. The book contains the basic mathematical and statistical tools required to understand the concepts of the methods under discussion and worked examples of analyses, but it is neither a mathematical treatise, nor a recipe book for growth data analysis. Aimed at junior and senior researchers involved in the analysis of human growth data, this book will be an essential reference for anthropologists, auxologists and paediatricians.

Analysis of Ordinal Data

Author : David K. Hildebrand
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Analysis of Ordinal Data by : David K. Hildebrand

Download or read book Analysis of Ordinal Data written by David K. Hildebrand and published by SAGE Publications, Incorporated. This book was released on 1977-05 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series of methodological works provides introductory explanations and demonstration of various data analysis techniques applicable to the social sciences. Designed for readers with a limited background in statistics or mathematics, this series aims to make the assumptions and practices of quantitative analysis more readily accessible.

Ordinal Analysis with an Introduction to Proof Theory

Author : Toshiyasu Arai
Publisher : Springer Nature
ISBN 13 : 9811564590
Total Pages : 327 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Ordinal Analysis with an Introduction to Proof Theory by : Toshiyasu Arai

Download or read book Ordinal Analysis with an Introduction to Proof Theory written by Toshiyasu Arai and published by Springer Nature. This book was released on 2020-08-11 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a guide to both ordinal analysis, and to proof theory. It mainly focuses on ordinal analysis, a research topic in proof theory that is concerned with the ordinal theoretic content of formal theories. However, the book also addresses ordinal analysis and basic materials in proof theory of first-order or omega logic, presenting some new results and new proofs of known ones.Primarily intended for graduate students and researchers in mathematics, especially in mathematical logic, the book also includes numerous exercises and answers for selected exercises, designed to help readers grasp and apply the main results and techniques discussed.

An Introduction to Categorical Data Analysis

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 393 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Using Stata for Quantitative Analysis

Author : Kyle C. Longest
Publisher : SAGE
ISBN 13 : 1412997119
Total Pages : 241 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Using Stata for Quantitative Analysis by : Kyle C. Longest

Download or read book Using Stata for Quantitative Analysis written by Kyle C. Longest and published by SAGE. This book was released on 2012 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Stata for Quantitative Analysis is an applied, self-teaching resource. It is written in such a way that a reader with no experience with statistical software can sit down and be working with data in a very short amount of time. The author proposes to teach the language of Stata from an intuitive perspective, furthering students’ overall retention, using many screen shots from Stata to guide students.

Logistic Regression Models for Ordinal Response Variables

Author : Ann A. O'Connell
Publisher : SAGE
ISBN 13 : 9780761929895
Total Pages : 124 pages
Book Rating : 4.9/5 (298 download)

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Book Synopsis Logistic Regression Models for Ordinal Response Variables by : Ann A. O'Connell

Download or read book Logistic Regression Models for Ordinal Response Variables written by Ann A. O'Connell and published by SAGE. This book was released on 2006 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ordinal measures provide a simple and convenient way to distinguish among possible outcomes. The book provides practical guidance on using ordinal outcome models.

Statistical Models for Ordinal Variables

Author : Clifford C. Clogg
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Statistical Models for Ordinal Variables by : Clifford C. Clogg

Download or read book Statistical Models for Ordinal Variables written by Clifford C. Clogg and published by SAGE Publications, Incorporated. This book was released on 1994-02-28 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should data involving response variables of many ordered categories be analyzed? What technique would be most useful in analyzing partially ordered variables regarded as dependent variables? Addressing these and other related concerns in social and survey research, Clogg and Shihadeh explore the statistical analysis of data involving dependent variables that can be coded into discrete, ordered categories, such as "agree," "uncertain," "disagree," or in other similar ways. The authors emphasize the applications of new models and methods for the analysis of ordinal variables and cover general procedures for assessing goodness-of-fit, review the independence model and the saturated model, define measures of association, demonstrate the logit versions of the model, and develop association models as well as logit-type regression models. Aimed at helping researchers formulate models that take account of the ordering of the levels of the variables, this book is appropriate for readers familiar with log-linear analysis and logit regression.

Statistics For Dummies

Author : Deborah J. Rumsey
Publisher : John Wiley & Sons
ISBN 13 : 1119293529
Total Pages : 423 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Statistics For Dummies by : Deborah J. Rumsey

Download or read book Statistics For Dummies written by Deborah J. Rumsey and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Categorical Data Analysis and Multilevel Modeling Using R

Author : Xing Liu
Publisher : SAGE Publications
ISBN 13 : 154432491X
Total Pages : 745 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Categorical Data Analysis and Multilevel Modeling Using R by : Xing Liu

Download or read book Categorical Data Analysis and Multilevel Modeling Using R written by Xing Liu and published by SAGE Publications. This book was released on 2022-02-24 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.

Ordinal Measurement in the Behavioral Sciences

Author : Norman Cliff
Publisher : Psychology Press
ISBN 13 : 1135691681
Total Pages : 246 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Ordinal Measurement in the Behavioral Sciences by : Norman Cliff

Download or read book Ordinal Measurement in the Behavioral Sciences written by Norman Cliff and published by Psychology Press. This book was released on 2003-01-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 Ordinal Methods for Behavioral Data Analysis. It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement. Ordinal Measurement in the Behavioral Sciences provides: *methods for analyzing test responses; *extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli; *methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and *ordinal test theory and the unfolding methods that are applicable to cross-cultural studies. Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.

Applied Survey Data Analysis

Author : Steven G. Heeringa
Publisher : CRC Press
ISBN 13 : 1498761615
Total Pages : 568 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Applied Survey Data Analysis by : Steven G. Heeringa

Download or read book Applied Survey Data Analysis written by Steven G. Heeringa and published by CRC Press. This book was released on 2017-07-12 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.

New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Author : L. Andries van der Ark
Publisher : Psychology Press
ISBN 13 : 1135704856
Total Pages : 274 pages
Book Rating : 4.1/5 (357 download)

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Book Synopsis New Developments in Categorical Data Analysis for the Social and Behavioral Sciences by : L. Andries van der Ark

Download or read book New Developments in Categorical Data Analysis for the Social and Behavioral Sciences written by L. Andries van der Ark and published by Psychology Press. This book was released on 2005-01-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author : David Kaplan
Publisher : SAGE
ISBN 13 : 9780761923596
Total Pages : 532 pages
Book Rating : 4.9/5 (235 download)

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Book Synopsis The SAGE Handbook of Quantitative Methodology for the Social Sciences by : David Kaplan

Download or read book The SAGE Handbook of Quantitative Methodology for the Social Sciences written by David Kaplan and published by SAGE. This book was released on 2004-06-21 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.